Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
51
Integrating Patient Reported Outcomes With Clinical Cancer Registry Data: A Feasibility Study of the Electronic Patient-Reported Outcomes From Cancer Survivors (ePOCS) System
Laura Ashley, Helen Jones, James Thomas, Alex Newsham, Amy Downing, Eva Morris, Julia Brown, Galina Velikova, David Forman, Penny Wright
J Med Internet Res 2013;15(10):e230
(Oct 25, 2013)
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20 3.58 5.00 12 80
 
 
52
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears
Miguel Angel Luengo-Oroz, Asier Arranz, John Frean
J Med Internet Res 2012;14(6):e167
(Nov 29, 2012)
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20 3.33 24.00 175 100
 
 
53
Social Media and Rating Sites as Tools to Understanding Quality of Care: A Scoping Review
Lise M Verhoef, Tom H Van de Belt, Lucien JLPG Engelen, Lisette Schoonhoven, Rudolf B Kool
J Med Internet Res 2014;16(2):e56
(Feb 20, 2014)
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19 10.71 0.00 16 75
 
 
54
Development and Initial Evaluation of an Internet-Based Support System for Face-to-Face Cognitive Behavior Therapy: A Proof of Concept Study
Kristoffer NT Månsson, Erica Skagius Ruiz, Elisabet Gervind, Mats Dahlin, Gerhard Andersson
J Med Internet Res 2013;15(12):e280
(Dec 10, 2013)
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19 4.64 30.00 13 90
 
 
55
Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities
Nebeyou A Abebe, Korey L Capozza, Terrisca R Des Jardins, David A Kulick, Alison L Rein, Abigail A Schachter, Scott A Turske
J Med Internet Res 2013;15(10):e221
(Oct 15, 2013)
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19 3.17 38.00 28 90
 
 
56
Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study
Thiago D Nascimento, Marcos F DosSantos, Theodora Danciu, Misty DeBoer, Hendrik van Holsbeeck, Sarah R Lucas, Christine Aiello, Leen Khatib, MaryCatherine A Bender, UMSoD (Under)Graduate Class Of 2014, Jon-Kar Zubieta, Alexandre F DaSilva
J Med Internet Res 2014;16(4):e96
(Apr 3, 2014)
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18 42.92 0.00 18 100
 
 
57
Does Brief Telephone Support Improve Engagement With a Web-Based Weight Management Intervention? Randomized Controlled Trial
Laura Dennison, Leanne Morrison, Scott Lloyd, Dawn Phillips, Beth Stuart, Sarah Williams, Katherine Bradbury, Paul Roderick, Elizabeth Murray, Susan Michie, Paul Little, Lucy Yardley
J Med Internet Res 2014;16(3):e95
(Mar 28, 2014)
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18 29.37 0.00 14 95
 
 
58
Smartphone Apps for Cardiopulmonary Resuscitation Training and Real Incident Support: A Mixed-Methods Evaluation Study
Marco Kalz, Niklas Lenssen, Marc Felzen, Rolf Rossaint, Bernardo Tabuenca, Marcus Specht, Max Skorning
J Med Internet Res 2014;16(3):e89
(Mar 19, 2014)
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18 19.93 0.00 14 95
 
 
59
Patients’ Reported Reasons for Non-Use of an Internet-Based Patient-Provider Communication Service: Qualitative Interview Study
Cecilie Varsi, Deede Gammon, Torunn Wibe, Cornelia M Ruland
J Med Internet Res 2013;15(11):e246
(Nov 11, 2013)
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18 3.58 25.00 15 80
 
 
60
A Comparison of Two Delivery Modalities of a Mobile Phone-Based Assessment for Serious Mental Illness: Native Smartphone Application vs Text-Messaging Only Implementations
John Ainsworth, Jasper E Palmier-Claus, Matthew Machin, Christine Barrowclough, Graham Dunn, Anne Rogers, Iain Buchan, Emma Barkus, Shitij Kapur, Til Wykes, Richard S Hopkins, Shôn Lewis
J Med Internet Res 2013;15(4):e60
(Apr 5, 2013)
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18 3.00 0.00 25 90
 
 
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Total Tweets
 
Tweets per Month
 
Tweets Influence Factor
 
Twimpact Factor (TWIF) tw7
 
Twindex7

A Tweets per month statistic may be artifically inflated for newly published articles

B Tweets Influence Factor (TIF): number of tweets x avg. influence of tweeters (influence is determined by how often all tweets of that person are retweeted by others)

C Twimpact Factor (TWIF) tw7: Number of mentionings in tweets (tweetations) within first 7 days after article publication (Eysenbach 2011)

D Twindex7 (Eysenbach 2011): Rank percentile of this article when its twimpact factor (tw7) is compared to 19 previously published articles. Range 0-100, with higher scores reflecting higher impact on Twitter. Articles with a Twindex greater than 75 have a 75% chance of being highly cited (top quartile by citation), articles with a Twindex less than 75 have a 7% chance to be highly cited.